Development of a Methodology for Robust Evaluation of Perceived Quality of Vehicle Body Panel Gaps

Duraiswamy, Vidya; Campean, Felician; Harris, Steve

doi:10.21278/idc.2018.0432

Cited by 4 publications

(5 citation statements)

References 14 publications

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“…Besides this object-and behaviour-based communication, there is a verbal information exchange to support the process: while the designer can verbally assist with the understanding of the prototype, the user expresses his thoughts and gives feedback. At the same time, the guiding of the designer can lead to an experimental bias in form of the Rosenthal effect (Rosenthal and Fode, 1963) or Hawthorne effect (Duraiswamy et al, 2018). In the case of a co-design set-up for prototyping, the position and type of the filters shift.…”

Section: Discussionmentioning

confidence: 99%

The User-Driven Minimum Feasible Product – Towards a Novel Approach on User Integration

Nicklas

Atzberger

Westermeyer

et al. 2020

Proc. Des. Soc.: Des. Conf.

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User integration is a key aspect of new product development. When applying corresponding methods, however, there is a communication gap that needs to be overcome by the designer. Prototyping is a means to bridge this disjunction, yet brings its own set of hermeneutic limitations. Taking a closer look at the processual information exchange, we propose the concept of the user-driven minimum feasible product (UD-MFP). It describes the artefact generated by the users themselves in their specific context, which contains the essence of the problem's solution as a possible source of validation.

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Section: Discussionmentioning

confidence: 99%

The User-Driven Minimum Feasible Product – Towards a Novel Approach on User Integration

Nicklas

Atzberger

Westermeyer

et al. 2020

Proc. Des. Soc.: Des. Conf.

View full text Add to dashboard Cite

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“…For example, Hazen et al (2017) established a multidimensional construct to measure the perceived quality of remanufactured products. Duraiswamy et al (2018) developed an evaluation method for the perceived quality of vehicle body panel gaps or split lines. Besides, some researchers also pointed out that methods for prioritizing attention to product attributes regarding perceived quality should be developed, which is critical for manufacturers to integrate and manage limited resources to gain competitive advantages (Stylidi et al, 2020).…”

Section: Related Work 21 Perceived Qualitymentioning

confidence: 99%

“…Considering the significant impact of perceived quality, scholars are beginning to construct quantification and processing methods for perceived quality (Duraiswamy et al, 2018;Hazen et al, 2017;He et al, 2018). For example, Hazen et al (2017) established a multidimensional construct to measure the perceived quality of remanufactured products.…”

Section: Related Work 21 Perceived Qualitymentioning

confidence: 99%

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Dynamic perceived quality analysis using social media data at macro- and micro-levels

Yang

Dang

2023

IMDS

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PurposeThis paper aims to propose a method for dynamic product perceived quality analysis using social media data and to achieve a macro–micro combination analysis. The method enables the prioritization of perceived quality attributes and provides perception causes.Design/methodology/approachTo rationalize the macro–micro combination, ANOVA and multiple linear regression were used to identify the main factors affecting perceived quality which served as the combination basis; by using the combination basis for consumer segmentation, macro-knowledge (i.e. attribute importance and quality category of the attribute) is achieved by term frequency-inverse document frequency (TF-IDF)-based attribute importance calculation and KANO-based attribute classification, which is combined with micro-quality diagnostic information (i.e. perceived quality, perception causes and quality parameters). Further, dynamic perception Importance-Performance Analysis (IPA) is built to present the attribute priority and perception causes.FindingsThe framework was validated by the new energy vehicle (NEV) data of Autohome. The results show that price and purchase purpose are the most influential factors of perceived quality and that dynamic perception IPA can effectively prioritize attributes and mine perception causes.Originality/valueThis is one of the first studies to analyze dynamic perceived quality using social media data, which contributes to the research on perceived quality. The paper also contributes by achieving a combined macro–micro analysis of perceived quality. The method rationalizes the macro–micro combination by identifying the factors influencing perceived quality, which provides ideas for other studies using social media data.

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“…Furthermore, several methods have been proposed for the evaluation of single attributes. Duraiswamy et al (2018) developed a methodology for robust evaluation of the perceived quality of vehicle body panel gaps or split lines. Pan et al (2016) presented a quantitative model for prediction of visual attraction design regions related to automotive styling, where customer's response to product design was modelled with the use of a deep convolutional neural network and crowdsourced Markov chain.…”

Section: Towards Quantification Of Perceived Qualitymentioning

confidence: 99%

Perceived quality of products: a framework and attributes ranking method

Stylidis

Wickman

Söderberg

2019

Journal of Engineering Design

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Perceived quality is one of the most critical aspects of product development that defines the successful design. This paper presents a new approach to perceived quality assessment by examining its elements, decomposed into a structure with the bottom-up sensory approach from the level of basic ('ground') attributes, covering almost every aspect of quality perception from the engineering viewpoint. The paper proposes a novel method for perceived quality attributes relative importance ranking, resulting in the balanced perceived quality of the final product within the given conditions. The proposed method helps to reach the equilibrium of the product's quality equation from the perspective of design effort, time, and costs estimations. The authors introduce the Perceived Quality Framework (PQF), which is the taxonomy system for perceived quality attributes and the core of the attributes importance ranking (PQAIR) method. The research outcomes are based on findings of the qualitative exploratory study, including European and North American premium and luxury automotive manufacturers. An empirical structural validity test was performed to assess the usability and rigour of the proposed method. The results indicate that perceived quality evaluation can be significantly improved during all stages of product development.

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Development of a Methodology for Robust Evaluation of Perceived Quality of Vehicle Body Panel Gaps

Cited by 4 publications

References 14 publications

The User-Driven Minimum Feasible Product – Towards a Novel Approach on User Integration

The User-Driven Minimum Feasible Product – Towards a Novel Approach on User Integration

Dynamic perceived quality analysis using social media data at macro- and micro-levels

Perceived quality of products: a framework and attributes ranking method

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